Data Scientist

Build ML models that drive business decisions

full-time

Highly competitive

Overview

Build ML models that solve real business problems: demand forecasting, customer churn prediction, dynamic pricing, fraud detection. You'll own the full cycle: problem framing, data analysis, model development, deployment, monitoring. This isn't Kaggle. You'll work with messy data, shifting requirements, and stakeholders who don't speak ML. Success means building models that actually get used and drive measurable business value.

Responsibilities

• Frame business problems as ML tasks and define success metrics
• Explore and analyze client data to identify patterns and opportunities
• Build, train, and evaluate ML models
• Deploy models to production and monitor performance
• Communicate findings and recommendations to business stakeholders
• Collaborate with engineers on data pipelines and model serving <...